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Svindlere omgår alle kontroller med rigtige konti og grønne signaler

The All Green Problem: How Fraudsters Beat Every Check

Financial institutions worldwide are losing money to fraud that triggers no alarms — because the system sees nothing wrong

By
Susanne Sperling
Published
May 11, 2026 at 02:05 PM

Quick Facts

Phenomenon'The all green problem' — fraud that passes every automated security check
MethodA compromised or manipulated account holder initiates the transaction themselves from a known device and location
The problemAI fraud detection agents are designed to stop anomalies — not green signals
Attack vectorSocial engineering and account compromise that leave no technical fingerprints
SourceThomson Reuters report on AI-driven fraud, 2025

Financial institutions across the world reported in May 2026 an accelerating fraud trend that has forced security experts to rethink the foundations of modern transaction security. The fraud does not involve breaking into systems, forging identities, or fooling biometric checks — it works precisely because everything looks completely normal.

The system says green — but the money is gone

The phenomenon has been dubbed 'the all green problem' within the security industry. The term describes scenarios in which a transaction passes every automated control without triggering a single alarm: the correct user logs in from their usual device, from their known geographic location, with the right password and any required two-factor authentication. The system detects no anomalies. Everything is green.

And yet, fraud has taken place.

The explanation is that the account holder has either been socially engineered into carrying out the transaction themselves — classic authorized push payment (APP) fraud — or that their account and device have been compromised in a way that leaves no technical traces the AI systems have been trained to recognize.

AI agents are blind to the human layer

Modern fraud detection relies increasingly on artificial intelligence and machine learning. These systems analyze patterns: unusual locations, new devices, atypical transaction amounts or timing. They are extremely effective at catching exactly those kinds of deviations.

But 'the all green problem' exploits a fundamental blind spot: the agents cannot evaluate the human context behind a transaction. They cannot determine whether the account holder is acting freely and with full information — or is under pressure, has been misled by a deepfake phone call, or has been convinced by a fraudster impersonating the bank's customer service team.

This is precisely the weakness that criminals are increasingly exploiting. social engineering fraud is not new, but the combination with sophisticated account compromise — where an attacker takes over a device or session without changing the password — allows fraudsters to operate entirely within the parameters that AI systems regard as normal.

The pattern repeats across institutions

What makes this development alarming is not the individual cases, but the systemic pattern. According to Thomson Reuters' analysis of AI-driven fraud, criminals are deliberately adapting their methods to avoid the precise signals that detection systems are calibrated to react to. It is a form of AI fraud and machine learning pitted against machine learning — a race that banks are currently losing.

Financial institutions find themselves in a dilemma: if they tighten controls and begin blocking transactions that technically appear legitimate, they risk turning away genuine customers with unnecessary rejections and friction. If they do not, fraudsters continue unchecked.

The result is that many institutions currently lack effective tools to deal with this specific category of fraud — and losses are quietly growing, without a single alarm going off.

What can banks do?

Security experts point out that the solution is not purely technical. While AI systems can be improved to analyze behavioral patterns more precisely — for example, by examining whether a user's interaction behavior on the transaction page itself deviates from the norm — 'the all green problem' also demands a strengthening of the human element.

That means more robust customer education about social manipulation and bank fraud, procedures for confirming unusual transfers through secondary channels, and greater cooperation between institutions on sharing patterns and indicators of compromised accounts.

bank fraud prevention is an area that has historically lagged behind criminal methods. With 'the all green problem,' the challenge is no longer about building higher walls — it is about understanding when someone has walked through the open door with the right key.

The financial sector now faces an uncomfortable but necessary realization: a system that never says red is not a secure system — it is simply a system that does not know what to look for.

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Susanne Sperling

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